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A Hybrid GA-LDA Scheme for Feature Selection in Content-Based Image Retrieval

Belattar, Khadidja; Mostefai, Sihem; Draa, Amer - In: International Journal of Applied Metaheuristic … 9 (2018) 2, pp. 48-71

Feature selection is an important pre-processing technique in the pattern recognition domain. This article proposes a hybridization between Genetic Algorithm (GA) and the Linear Discriminant Analysis (LDA) for solving the feature selection problem in Content-Based Image Retrieval (CBIR) applied...

Persistent link: https://www.econbiz.de/10012042966

Predicting Impulsive Buyers: A Comparative Study of Binary Classifiers' Discriminative Ability

Prashar, Sanjeev; Parsad, Chandan; Vijay, T Sai - In: International Journal of Strategic Decision Sciences (IJSDS) 7 (2016) 2, pp. 40-56

Researches over the years have posited that most of the purchasing decisions made by shoppers are unplanned and mostly made inside the store. Every year retailers spend huge amount on in-store promotion and store environment to gain consumers' attention and stimulate them for such impulsive...

Persistent link: https://www.econbiz.de/10012047492

Improving Reliability and Reducing Risk by Separation

Todinov, Michael Todorov - In: International Journal of Risk and Contingency … 6 (2017) 4, pp. 16-39

The paper introduces the method of separation for improving reliability and reducing technical risk and provides … insight into the various mechanisms through which the method of separation attains this goal. A comprehensive classification … of techniques for improving reliability and reducing risk, based on the method of separation has been proposed for the …

Persistent link: https://www.econbiz.de/10012047272

Intelligent Models to Predict the Prognosis of Premature Neonates According to Their EEG Signals

Al Hajjar, Yasser; Al Hajjar, Abd El Salam Ahmad; Daya, … - In: International Journal of Biomedical and Clinical … 6 (2017) 1, pp. 57-66

The aim of this paper is to find the best intelligent model that allows predicting the future of premature newborns according to their electroencephalogram (EEG). EEG is a signal that measures the electrical activity of the brain. In this paper, the authors used a dataset of 397 EEG records...

Persistent link: https://www.econbiz.de/10012043230

Performance Analysis of Anisotropic Diffusion Based Colour Texture Descriptors in Industrial Applications

Hiremath, Prakash S.; Bhusnurmath, Rohini A. - In: International Journal of Computer Vision and Image … 7 (2017) 2, pp. 50-63

A novel method of colour texture analysis based on anisotropic diffusion for industrial applications is proposed and the performance analysis of colour texture descriptors is examined. The objective of the study is to explore different colour spaces for their suitability in automatic...

Persistent link: https://www.econbiz.de/10012043829

Real-Time Recognition of Series Seven New Zealand Banknotes

Yan, Wei Qi; Ren, Yueqiu; Nguyen, Minh - In: International Journal of Digital Crime and Forensics (IJDCF) 10 (2018) 3, pp. 50-65

This article proposes an effective method for real-time banknote recognition, using digital image processing. The new Series 7 New Zealand banknotes are considered, as a case study, for intelligent real-time recognition. The composite feature of a banknote containing the elements of color and...

Persistent link: https://www.econbiz.de/10012043976

First Report on the Validated Classification-Based Chemometric Modeling of Human Rhinovirus 3C Protease (HRV 3Cpro) Inhibitors

Jha, Tarun; Amin, Sk. Abdul; Adhikari, Nilanjan; Gayen, … - In: International Journal of Quantitative … 3 (2018) 2, pp. 1-20

Human rhinoviruses (HRVs), a major cause of common cold and upper respiratory infections, may trigger severe respiratory complications like asthma and COPD. To date, no drugs are available in the market which are designed as novel HRV inhibitors despite the involvement of some pharmaceutical...

Persistent link: https://www.econbiz.de/10012047220

An Expanded Assessment of Data Mining Approaches for Analyzing Actuarial Student Success Rate

Olinsky, Alan; Schumacher, Phyllis; Quinn, John - In: International Journal of Business Analytics (IJBAN) 3 (2016) 1, pp. 22-44

One way to enhance the likelihood that more university students will graduate within the specific major that they begin with is to attract the type of students who have typically (historically) done well in that field of study. This paper expands upon a study that utilizes data mining...

Persistent link: https://www.econbiz.de/10012043161

A Novel Approach to Classify Nailfold Capillary Images in Indian Population Using USB Digital Microscope

Suma K. V.; Sasi, Vishwajit; Rao, Bheemsain - In: International Journal of Biomedical and Clinical … 7 (2018) 1, pp. 25-39

Nailfold capillaroscopy is a simple, non-invasive clinical aid used for the diagnosis of vascular dysfunction. The method proposed emphasizes on the USB Digital Microscope which is a cheaper and useful alternative to commercially available expensive videocapillaroscopes which produces high...

Persistent link: https://www.econbiz.de/10012043236

Modelling and Analyzing Consumer Behaviour Employing Observational Data

Kyrdoda, Yuliia; Hammami, A.Malek; Periklis, Drakos; … - In: International Journal of Food and Beverage … 3 (2018) 1, pp. 42-57

The purpose of this article is to investigate and model retail consumer purchase behavior and determine factors affecting the purchasing decision. The following hypotheses were verified: H1 tests the influence of “Decision-making Time” over “Final Purchase”. H2 tests “Promotion” over...

Persistent link: https://www.econbiz.de/10012044778